Fuzzy auto-associative neural networks for principal component extraction of noisy data.
Tai-Ning YangSheng-De WangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- noisy data
- auto associative
- principal components
- neural network
- fuzzy logic
- principal component analysis
- fuzzy systems
- artificial neural networks
- fuzzy neural network
- associative memory
- noise tolerant
- dimensionality reduction
- fuzzy sets
- high dimensional
- multivariate data
- membership functions
- pattern recognition
- fuzzy rules
- hyperplane
- principal component regression
- learning from noisy data
- adaptive resonance theory
- noise free
- covariance matrix
- input data
- neural network model
- missing data
- rule extraction
- training data
- high dimensionality
- kernel space
- missing values
- least squares
- image data
- data sets
- high dimensional data
- objective function
- principal curves
- face recognition